##
## ## SEX vs INF_ANAM
## y
## x zero one two >=three
## Female 404 143 61 18
## Male 647 263 85 58
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 8.6127, df = 3, p-value = 0.03491
##
##
## ## SEX vs STENOK_AN
## y
## x never last year one year ago two years ago three years ago
## Female 228 57 55 47 29
## Male 466 95 89 74 49
## y
## x 4-5 years ago >=5 years ago
## Female 58 152
## Male 75 205
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 12.56, df = 6, p-value = 0.05058
##
##
## ## SEX vs GB
## y
## x there is no EH Stage 1 Stage 2 Stage 3
## Female 123 1 403 99
## Male 477 10 469 97
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 120.44, df = 3, p-value < 2.2e-16
##
##
## ## SEX vs SIM_GIPERT
## y
## x no yes
## Female 596 30
## Male 1027 26
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: ttab
## X-squared = 5.8715, df = 1, p-value = 0.01539
##
##
## ## SEX vs endocr_01
## y
## x no yes
## Female 467 159
## Male 983 70
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: ttab
## X-squared = 115.61, df = 1, p-value < 2.2e-16
##
##
## ## SEX vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## Female 528 50 15
## Male 963 51 16
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## Female 18 15
## Male 17 6
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 23.784, df = 4, p-value = 8.825e-05
##
##
## ## SEX vs AGE
##
## ## SEX vs S_AD_ORIT
##
## ## SEX vs D_AD_ORIT
##
## ## SEX vs K_BLOOD
##
## ## SEX vs NA_BLOOD
##
## ## SEX vs L_BLOOD
##
## ## SEX vs ROE
##
## ## SEX vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## Female 493 50 6 31
## Male 925 51 12 23
## y
## x progress of congestive HF thromboembolism asystole
## Female 17 9 11
## Male 6 3 15
## y
## x ventricular fibrillation
## Female 9
## Male 18
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 40.722, df = 7, p-value = 9.154e-07
##
##
## ## SEX vs COM_SUM
##
## ## INF_ANAM vs STENOK_AN
## y
## x never last year one year ago two years ago three years ago
## zero 581 88 52 66 42
## one 78 53 66 34 26
## two 25 10 16 17 8
## >=three 10 1 10 4 2
## y
## x 4-5 years ago >=5 years ago
## zero 54 168
## one 51 98
## two 19 51
## >=three 9 40
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 295.1, df = 18, p-value < 2.2e-16
##
##
## ## INF_ANAM vs GB
## y
## x there is no EH Stage 1 Stage 2 Stage 3
## zero 416 7 518 110
## one 130 3 216 57
## two 34 0 93 19
## >=three 20 1 45 10
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 25.481, df = 9, p-value = 0.002482
##
##
## ## INF_ANAM vs SIM_GIPERT
## y
## x no yes
## zero 1013 38
## one 392 14
## two 144 2
## >=three 74 2
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 2.1382, df = 3, p-value = 0.5442
##
##
## ## INF_ANAM vs endocr_01
## y
## x no yes
## zero 929 122
## one 351 55
## two 111 35
## >=three 59 17
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 21.836, df = 3, p-value = 7.055e-05
##
##
## ## INF_ANAM vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## zero 958 64 11
## one 357 23 11
## two 114 12 4
## >=three 62 2 5
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## zero 12 6
## one 5 10
## two 13 3
## >=three 5 2
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 77.274, df = 12, p-value = 1.363e-11
##
##
## ## INF_ANAM vs AGE
##
## ## INF_ANAM vs S_AD_ORIT
##
## ## INF_ANAM vs D_AD_ORIT
##
## ## INF_ANAM vs K_BLOOD
##
## ## INF_ANAM vs NA_BLOOD
##
## ## INF_ANAM vs L_BLOOD
##
## ## INF_ANAM vs ROE
##
## ## INF_ANAM vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## zero 915 40 8 44
## one 324 44 7 8
## two 122 10 1 1
## >=three 57 7 2 1
## y
## x progress of congestive HF thromboembolism asystole
## zero 11 7 10
## one 7 1 10
## two 5 1 4
## >=three 0 3 2
## y
## x ventricular fibrillation
## zero 16
## one 5
## two 2
## >=three 4
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 74.075, df = 21, p-value = 7.697e-08
##
##
## ## INF_ANAM vs COM_SUM
##
## ## STENOK_AN vs GB
## y
## x there is no EH Stage 1 Stage 2 Stage 3
## never 295 6 322 71
## last year 51 1 86 14
## one year ago 52 2 72 18
## two years ago 46 0 64 11
## three years ago 23 0 47 8
## 4-5 years ago 36 1 76 20
## >=5 years ago 97 1 205 54
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 40.534, df = 18, p-value = 0.001764
##
##
## ## STENOK_AN vs SIM_GIPERT
## y
## x no yes
## never 672 22
## last year 145 7
## one year ago 139 5
## two years ago 114 7
## three years ago 76 2
## 4-5 years ago 128 5
## >=5 years ago 349 8
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 4.6243, df = 6, p-value = 0.5928
##
##
## ## STENOK_AN vs endocr_01
## y
## x no yes
## never 629 65
## last year 133 19
## one year ago 120 24
## two years ago 96 25
## three years ago 69 9
## 4-5 years ago 111 22
## >=5 years ago 292 65
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 24.68, df = 6, p-value = 0.0003913
##
##
## ## STENOK_AN vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## never 639 47 4
## last year 133 14 2
## one year ago 130 6 0
## two years ago 96 10 3
## three years ago 71 4 2
## 4-5 years ago 112 3 8
## >=5 years ago 310 17 12
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## never 1 3
## last year 2 1
## one year ago 5 3
## two years ago 5 7
## three years ago 1 0
## 4-5 years ago 7 3
## >=5 years ago 14 4
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 94.39, df = 24, p-value = 2.673e-10
##
##
## ## STENOK_AN vs AGE
##
## ## STENOK_AN vs S_AD_ORIT
##
## ## STENOK_AN vs D_AD_ORIT
##
## ## STENOK_AN vs K_BLOOD
##
## ## STENOK_AN vs NA_BLOOD
##
## ## STENOK_AN vs L_BLOOD
##
## ## STENOK_AN vs ROE
##
## ## STENOK_AN vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema
## never 626 16 2
## last year 135 7 1
## one year ago 129 11 0
## two years ago 91 14 2
## three years ago 67 2 1
## 4-5 years ago 99 13 8
## >=5 years ago 271 38 4
## y
## x myocardial rupture progress of congestive HF thromboembolism
## never 23 5 4
## last year 1 4 0
## one year ago 3 1 0
## two years ago 1 5 2
## three years ago 6 1 0
## 4-5 years ago 5 1 1
## >=5 years ago 15 6 5
## y
## x asystole ventricular fibrillation
## never 9 9
## last year 3 1
## one year ago 0 0
## two years ago 1 5
## three years ago 1 0
## 4-5 years ago 1 5
## >=5 years ago 11 7
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 139.7, df = 42, p-value = 2.02e-12
##
##
## ## STENOK_AN vs COM_SUM
##
## ## GB vs SIM_GIPERT
## y
## x no yes
## there is no EH 546 54
## Stage 1 11 0
## Stage 2 871 1
## Stage 3 195 1
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 93.002, df = 3, p-value < 2.2e-16
##
##
## ## GB vs endocr_01
## y
## x no yes
## there is no EH 548 52
## Stage 1 11 0
## Stage 2 732 140
## Stage 3 159 37
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 23.219, df = 3, p-value = 3.635e-05
##
##
## ## GB vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## there is no EH 546 34 8
## Stage 1 10 0 0
## Stage 2 766 52 19
## Stage 3 169 15 4
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## there is no EH 6 6
## Stage 1 1 0
## Stage 2 23 12
## Stage 3 5 3
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 11.982, df = 12, p-value = 0.4471
##
##
## ## GB vs AGE
##
## ## GB vs S_AD_ORIT
##
## ## GB vs D_AD_ORIT
##
## ## GB vs K_BLOOD
##
## ## GB vs NA_BLOOD
##
## ## GB vs L_BLOOD
##
## ## GB vs ROE
##
## ## GB vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema
## there is no EH 525 35 5
## Stage 1 10 1 0
## Stage 2 735 50 9
## Stage 3 148 15 4
## y
## x myocardial rupture progress of congestive HF thromboembolism
## there is no EH 9 6 4
## Stage 1 0 0 0
## Stage 2 31 13 4
## Stage 3 14 4 4
## y
## x asystole ventricular fibrillation
## there is no EH 5 11
## Stage 1 0 0
## Stage 2 17 13
## Stage 3 4 3
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 32.509, df = 21, p-value = 0.05195
##
##
## ## GB vs COM_SUM
##
## ## SIM_GIPERT vs endocr_01
## y
## x no yes
## no 1409 214
## yes 41 15
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: ttab
## X-squared = 7.3851, df = 1, p-value = 0.006576
##
##
## ## SIM_GIPERT vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## no 1440 99 31
## yes 51 2 0
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## no 33 20
## yes 2 1
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 2.4254, df = 4, p-value = 0.658
##
##
## ## SIM_GIPERT vs AGE
##
## ## SIM_GIPERT vs S_AD_ORIT
##
## ## SIM_GIPERT vs D_AD_ORIT
##
## ## SIM_GIPERT vs K_BLOOD
##
## ## SIM_GIPERT vs NA_BLOOD
##
## ## SIM_GIPERT vs L_BLOOD
##
## ## SIM_GIPERT vs ROE
##
## ## SIM_GIPERT vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## no 1374 96 18 49
## yes 44 5 0 5
## y
## x progress of congestive HF thromboembolism asystole
## no 22 12 26
## yes 1 0 0
## y
## x ventricular fibrillation
## no 26
## yes 1
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 8.9492, df = 7, p-value = 0.2563
##
##
## ## SIM_GIPERT vs COM_SUM
##
## ## endocr_01 vs ZSN_A
## y
## x there is no CHF I stage IIÐ stage (HF due to R VSD)
## no 1305 79 22
## yes 186 22 9
## y
## x IIÐ stage (HF due to L VSD) IIB stage (HF due to L and R VSD)
## no 27 17
## yes 8 4
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 16.684, df = 4, p-value = 0.002226
##
##
## ## endocr_01 vs AGE
##
## ## endocr_01 vs S_AD_ORIT
##
## ## endocr_01 vs D_AD_ORIT
##
## ## endocr_01 vs K_BLOOD
##
## ## endocr_01 vs NA_BLOOD
##
## ## endocr_01 vs L_BLOOD
##
## ## endocr_01 vs ROE
##
## ## endocr_01 vs LET_IS
## y
## x unknown (alive) cardiogenic shock pulmonary edema myocardial rupture
## no 1245 82 12 46
## yes 173 19 6 8
## y
## x progress of congestive HF thromboembolism asystole
## no 15 7 18
## yes 8 5 8
## y
## x ventricular fibrillation
## no 25
## yes 2
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 34.877, df = 7, p-value = 1.18e-05
##
##
## ## endocr_01 vs COM_SUM
##
## ## ZSN_A vs AGE
##
## ## ZSN_A vs S_AD_ORIT
##
## ## ZSN_A vs D_AD_ORIT
##
## ## ZSN_A vs K_BLOOD
##
## ## ZSN_A vs NA_BLOOD
##
## ## ZSN_A vs L_BLOOD
##
## ## ZSN_A vs ROE
##
## ## ZSN_A vs LET_IS
## y
## x unknown (alive) cardiogenic shock
## there is no CHF 1287 84
## I stage 95 1
## IIÐ stage (HF due to R VSD) 12 7
## IIÐ stage (HF due to L VSD) 18 4
## IIB stage (HF due to L and R VSD) 6 5
## y
## x pulmonary edema myocardial rupture
## there is no CHF 9 47
## I stage 2 0
## IIÐ stage (HF due to R VSD) 2 3
## IIÐ stage (HF due to L VSD) 3 3
## IIB stage (HF due to L and R VSD) 2 1
## y
## x progress of congestive HF thromboembolism
## there is no CHF 10 8
## I stage 2 1
## IIÐ stage (HF due to R VSD) 4 1
## IIÐ stage (HF due to L VSD) 5 1
## IIB stage (HF due to L and R VSD) 2 1
## y
## x asystole ventricular fibrillation
## there is no CHF 26 20
## I stage 0 0
## IIÐ stage (HF due to R VSD) 0 2
## IIÐ stage (HF due to L VSD) 0 1
## IIB stage (HF due to L and R VSD) 0 4
## Warning in chisq.test(ttab): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test
##
## data: ttab
## X-squared = 257.52, df = 28, p-value < 2.2e-16
##
##
## ## ZSN_A vs COM_SUM
##
## ## AGE vs S_AD_ORIT
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.9294, df = 1677, p-value = 0.05384
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.0007770545 0.0946889261
## sample estimates:
## cor
## 0.0470634
##
##
## ## AGE vs D_AD_ORIT
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -2.1738, df = 1677, p-value = 0.02986
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.100591888 -0.005182698
## sample estimates:
## cor
## -0.05300826
##
##
## ## AGE vs K_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -0.42953, df = 1677, p-value = 0.6676
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.05829774 0.03736917
## sample estimates:
## cor
## -0.01048828
##
##
## ## AGE vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.0736, df = 1677, p-value = 0.2831
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02165779 0.07395406
## sample estimates:
## cor
## 0.02620807
##
##
## ## AGE vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.10134, df = 1677, p-value = 0.9193
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04536932 0.05030751
## sample estimates:
## cor
## 0.002474757
##
##
## ## AGE vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 8.6268, df = 1677, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.1598736 0.2514944
## sample estimates:
## cor
## 0.2061358
##
##
## ## AGE vs LET_IS
##
## ## AGE vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 629593982, p-value < 2.2e-16
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.2018953
##
##
## ## S_AD_ORIT vs D_AD_ORIT
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 65.119, df = 1677, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.8323961 0.8595551
## sample estimates:
## cor
## 0.8465255
##
##
## ## S_AD_ORIT vs K_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.6168, df = 1677, p-value = 0.1061
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.008403003 0.087125842
## sample estimates:
## cor
## 0.03945157
##
##
## ## S_AD_ORIT vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.534, df = 1677, p-value = 0.1252
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.01042555 0.08511812
## sample estimates:
## cor
## 0.03743183
##
##
## ## S_AD_ORIT vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -5.6238, df = 1677, p-value = 2.185e-08
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1827011 -0.0887907
## sample estimates:
## cor
## -0.1360515
##
##
## ## S_AD_ORIT vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.9711, df = 1677, p-value = 0.04887
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.0002401278 0.0956968911
## sample estimates:
## cor
## 0.04807828
##
##
## ## S_AD_ORIT vs LET_IS
##
## ## S_AD_ORIT vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 792919718, p-value = 0.8332
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.005144577
##
##
## ## D_AD_ORIT vs K_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.2854, df = 1677, p-value = 0.1988
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.01648929 0.07909417
## sample estimates:
## cor
## 0.03137417
##
##
## ## D_AD_ORIT vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.90874, df = 1677, p-value = 0.3636
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02568062 0.06994981
## sample estimates:
## cor
## 0.02218534
##
##
## ## D_AD_ORIT vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -5.7738, df = 1677, p-value = 9.219e-09
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.18620541 -0.09238866
## sample estimates:
## cor
## -0.1396103
##
##
## ## D_AD_ORIT vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.1626, df = 1677, p-value = 0.8709
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04387652 0.05179940
## sample estimates:
## cor
## 0.003970528
##
##
## ## D_AD_ORIT vs LET_IS
##
## ## D_AD_ORIT vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 801782169, p-value = 0.5024
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.01637906
##
##
## ## K_BLOOD vs NA_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 13.786, df = 1677, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.2754225 0.3613803
## sample estimates:
## cor
## 0.3190574
##
##
## ## K_BLOOD vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.66828, df = 1677, p-value = 0.504
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.03154666 0.06410534
## sample estimates:
## cor
## 0.01631667
##
##
## ## K_BLOOD vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 1.233, df = 1677, p-value = 0.2178
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.01776926 0.07782170
## sample estimates:
## cor
## 0.03009503
##
##
## ## K_BLOOD vs LET_IS
##
## ## K_BLOOD vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 853251951, p-value = 0.0008148
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.08162472
##
##
## ## NA_BLOOD vs L_BLOOD
##
## Pearson's product-moment correlation
##
## data: x and y
## t = 0.95486, df = 1677, p-value = 0.3398
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02455534 0.07107021
## sample estimates:
## cor
## 0.02331076
##
##
## ## NA_BLOOD vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -1.7403, df = 1677, p-value = 0.08198
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.090115347 0.005389976
## sample estimates:
## cor
## -0.04245968
##
##
## ## NA_BLOOD vs LET_IS
##
## ## NA_BLOOD vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 847950903, p-value = 0.002131
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## -0.07490485
##
##
## ## L_BLOOD vs ROE
##
## Pearson's product-moment correlation
##
## data: x and y
## t = -0.020659, df = 1677, p-value = 0.9835
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04834201 0.04733538
## sample estimates:
## cor
## -0.0005044714
##
##
## ## L_BLOOD vs LET_IS
##
## ## L_BLOOD vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 755260964, p-value = 0.08102
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.04259354
##
##
## ## ROE vs LET_IS
##
## ## ROE vs COM_SUM
## Warning in cor.test.default(x, y, method = "spearman"): Cannot compute exact
## p-value with ties
##
## Spearman's rank correlation rho
##
## data: x and y
## S = 718527409, p-value = 0.0002543
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
## rho
## 0.08915882
##
##
## ## LET_IS vs COM_SUM
